Efficient resource management in Green computing based on ISHOA task scheduling with secure ChaCha20-Poly1305 authenticated encryption-based data transmission

B. Santosh Kumar*, K. A.Jayasheel Kumar, Balasubramanian Prabhu Kavin, Gan Hong Seng

*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceedingChapterpeer-review

Abstract

One of the hottest new technologies that allows users to handle a broad range of resources and massive amounts of data in the cloud is green computing resource management. One of the biggest obstacles is task scheduling, and poor management leads to a decrease in productivity. The task must be efficiently scheduled to ensure optimal resource utilisation and minimal execution time. Given this, this study suggests a fresh method for efficient task scheduling in a green computing environment that also offers improved security. There is a development of an enhanced spotted hyena optimizer (ISHO). Finding the ideal or almost ideal subset with a straightforward structure to minimise the specified fitness function is a strong point of the SHO. It enhances a switch strategy in the spotted hyena's position updating mechanism and generates random positions in place of the violated spotted hyenas in order to support the proposed ISHO's exploration characteristics. Second, the data is encrypted using the ChaCha20-Poly1305 authenticated encryption algorithm, ensuring secure data transmission.

Original languageEnglish
Title of host publicationComputational Intelligence for Green Cloud Computing and Digital Waste Management
PublisherIGI Global
Pages267-286
Number of pages20
ISBN (Electronic)9798369315538
ISBN (Print)9798369315521
DOIs
Publication statusPublished - 27 Feb 2024

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